DatriseAI-first ETL

News API to Amazon QuickSight Integration

AI-first ETL from News API into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into Amazon QuickSight

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

News API: Aggregated news headlines across publishers.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How News API entities map to Amazon QuickSight

News API entityAmazon QuickSight objectNotes
articlesnews_api_articlesid PK · custom fields → flattened columns for analyses
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API's custom fields in Amazon QuickSight?

Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.

How does the News API to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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